Factors That Influence Repurchase Intention: A Systematic Literature Review

Teknika Pub Date : 2023-11-09 DOI:10.34148/teknika.v12i3.693
Muhammad Amfahtori Wijarnoko, Edwin Pramana, Joan Santoso
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Abstract

This research is a systematic literature review of factors that influence repurchase intention. Repurchase intention is important for companies because it will shape customer behavior to become loyal, customers usually tend to have an interest in buying products or services repeatedly so that the company will benefit from products or services that have been sold. The aim of this research is to provide insights into the research trends and issues in the studies of Repurchase Intention. The literature search focused on finding journals published between 2018 and 2023. Only English-language journals with the keyword Repurchase Intention were used in this research. Researchers found 80 journals that matched these keywords but after reading the collected articles thoroughly and removing duplicate and irrelevant articles, the authors produced 50 articles to be used in this research. The findings highlight key drivers for increasing sales: Satisfaction, Trust, Perceived Value, Price, and Word of Mouth. Additionally, 14 moderating factors were identified, with Age being the most prominent in four articles. Korea, India, and Indonesia lead research contributions, each with six articles. Structural Equation Modeling (SEM) is the prevailing measurement method, while other approaches persist. Companies are recommended to prioritize these core factors for consumer engagement. Future research should delve into unexplored moderating factors and alternative measurement methods, enriching our understanding of this vital field.
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影响回购意愿的因素:系统文献综述
本研究对影响回购意愿的因素进行了系统的文献综述。重复购买意向对公司来说很重要,因为它会塑造顾客的忠诚行为,顾客通常倾向于有兴趣反复购买产品或服务,这样公司就会从已经出售的产品或服务中受益。本研究的目的是洞察回购意愿研究的研究趋势和问题。文献检索的重点是寻找2018年至2023年之间发表的期刊。本研究仅使用以“回购意向”为关键词的英文期刊。研究人员找到了与这些关键词相匹配的80种期刊,但在仔细阅读收集的文章后,删除重复和不相关的文章,制作了50篇论文用于本次研究。调查结果强调了增加销售的关键驱动因素:满意度、信任、感知价值、价格和口碑。此外,确定了14个调节因素,其中年龄在四篇文章中最为突出。韩国、印度和印度尼西亚的研究贡献最多,各有6篇文章。结构方程模型(SEM)是主要的测量方法,而其他方法仍然存在。建议公司优先考虑这些消费者参与的核心因素。未来的研究应深入探索尚未探索的调节因素和替代测量方法,丰富我们对这一重要领域的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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发文量
22
审稿时长
6 weeks
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